Triple
T7540244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankee Harbour |
E178255
|
entity |
| Predicate | hasNearbyResearchActivity |
P33630
|
FINISHED |
| Object | Antarctic scientific field camps |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Antarctic scientific field camps | Statement: [Yankee Harbour, hasNearbyResearchActivity, Antarctic scientific field camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyResearchActivity Context triple: [Yankee Harbour, hasNearbyResearchActivity, Antarctic scientific field camps]
-
A.
hasResearchActivities
chosen
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
B.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
C.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
D.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
E.
conductsResearchAt
Indicates that a subject carries out research activities at a specified institution, organization, or location.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f873b17081908bb70aea0010d072 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.